Evidence map›Paper›PMID 34711812›Full record

ArticleCell death & disease2021

Alterations in the gut microbiota and metabolite profiles of patients with Kashin-Beck disease, an endemic osteoarthritis in China.

Xi Wang, Yujie Ning, Cheng Li, Yi Gong, Ruitian Huang, Minhan Hu, Blandine Poulet, Ke Xu, Guanghui Zhao, Rong Zhou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 3 countries.

Xi Wang *Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P. R. China.
Yujie Ning *School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, P. R. China.
Cheng LiShaanxi Institute of Endemic Disease Prevention and Control, Xi'an, Shaanxi, 710003, P. R. China. lcizooroo@163.com.ORCID http://orcid.org/0000-0003-1187-534X
Yi GongDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P. R. China.
Ruitian HuangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, P. R. China.
Minhan HuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, P. R. China.
Blandine PouletInstitute of Lifecourse and Medical Sciences, Department of Musculoskeletal and Ageing Science, University of Liverpool, 6 West Derby Street, Liverpool, L7 8TX, UK.
Ke XuDepartment of Joint Surgery, Hong Hui Hospital, Xi'an Jiaotong University, No. 555, Youyi East Road, Xi'an, China.
Guanghui ZhaoDepartment of Joint Surgery, Hong Hui Hospital, Xi'an Jiaotong University, No. 555, Youyi East Road, Xi'an, China.
Rong ZhouShaanxi Institute of Endemic Disease Prevention and Control, Xi'an, Shaanxi, 710003, P. R. China.
Mikko J LammiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, P. R. China.
Xiong GuoSchool of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi, 710061, P. R. China.
National Health and Family Planning Commission · CNXi'an Honghui Hospital · CNXi'an Jiaotong University · CNInstitute of Endemic Disease Control in Shandong Province · CNUniversity of Liverpool · GB

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81620108026National Natural Science Foundation of China (National Science Foundation of China) 81803178National Natural Science Foundation of China (National Science Foundation of China) 81803179
6 · The paper itself

Abstract

Kashin-Beck disease (KBD) is a severe osteochondral disorder that may be driven by the interaction between genetic and environmental factors. We aimed to improve our understanding of the gut microbiota structure in KBD patients of different grades and the relationship between the gut microbiota and serum metabolites. Fecal and serum samples collected from KBD patients and normal controls (NCs) were used to characterize the gut microbiota using 16S rDNA gene and metabolomic sequencing via liquid chromatography-mass spectrometry (LC/MS). To identify whether gut microbial changes at the species level are associated with the genes or functions of the gut bacteria in the KBD patients, metagenomic sequencing of fecal samples from grade I KBD, grade II KBD and NC subjects was performed. The KBD group was characterized by elevated levels of Fusobacteria and Bacteroidetes. A total of 56 genera were identified to be significantly differentially abundant between the two groups. The genera Alloprevotella, Robinsoniella, Megamonas, and Escherichia_Shigella were more abundant in the KBD group. Consistent with the 16S rDNA analysis at the genus level, most of the differentially abundant species in KBD subjects belonged to the genus Prevotella according to metagenomic sequencing. Serum metabolomic analysis identified some differentially abundant metabolites among the grade I and II KBD and NC groups that were involved in lipid metabolism metabolic networks, such as that for unsaturated fatty acids and glycerophospholipids. Furthermore, we found that these differences in metabolite levels were associated with altered abundances of specific species. Our study provides a comprehensive landscape of the gut microbiota and metabolites in KBD patients and provides substantial evidence of a novel interplay between the gut microbiome and metabolome in KBD pathogenesis.

Indexed as

Endemic DiseasesGastrointestinal MicrobiomeMetabolomicsBiodiversityCase-Control StudiesChinaDiscriminant AnalysisFecesGene Expression ProfilingHumansKashin-Beck DiseaseLeast-Squares AnalysisMetagenomicsOsteoarthritisRisk AssessmentRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID34711812
PMCPMC8553765
OpenAlexW3208352214

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.